Framework to simulate the effect of the Braess Paradox on CO2 emissions in urban areas by modeling the traffic flow from real data and simulating it through SUMO.
A simulation tool to test Braess's Paradox in traffic networks.
The program explores how various network structures influence system behavior under Braess' Paradox — a counterintuitive phenomenon in which adding resources to a network can degrade overall performance. The simulations are implemented using Python and NetworkX to model, analyze, and visualize traffic-like flow in graph-based systems.
Implémentation du paradoxe de Braess.
40.316 Game Theory - Understanding Drivers in Car-lite Singapore and the Impact of Cycling
Analyze and minimize the Braess' Paradox on networks
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